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accession-icon GSE68861
Expression data from third instar Drosophila larvae
  • organism-icon Drosophila melanogaster
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Drosophila Gene 1.1 ST Array (drogene11st)

Description

Ectopic expression of DNMT3L in Drosophila causes melanotic tumor in the transgenic flies from fifth generation onwards.

Publication Title

DNMT3L enables accumulation and inheritance of epimutations in transgenic Drosophila.

Sample Metadata Fields

Specimen part

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accession-icon GSE36006
Common PIK3CA mutants and a novel 3UTR mutation are associated with increased sensitivity to saracatinib
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Sensitive versus Resistant patient-derived colorectal cancer tumor xenografts with PIK3CA mutant against saracatinib (AZD0530)

Publication Title

Common PIK3CA mutants and a novel 3' UTR mutation are associated with increased sensitivity to saracatinib.

Sample Metadata Fields

Specimen part

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accession-icon GSE118238
Molecular profiling reveals immunogenic cues in anaplastic large cell lymphomas with DUSP22 rearrangements
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Anaplastic large cell lymphomas (ALCLs) are CD30-positive T-cell non-Hodgkin lymphomas broadly segregated into ALK-positive and ALK-negative types. While ALK-positive ALCLs consistently bear rearrangements of the ALK tyrosine kinase gene, ALK-negative ALCLs are clinically and genetically heterogeneous. About 30% of ALK-negative ALCLs have rearrangements of DUSP22 and have excellent long-term outcomes with standard therapy. To better understand this group of tumors, we evaluated their molecular signature using gene expression profiling. DUSP22-rearranged ALCLs belonged to a distinct subset of ALCLs that lacked expression of genes associated with JAK-STAT3 signaling, a pathway contributing to growth in the majority of ALCLs. Reverse-phase protein array and immunohistochemical studies confirmed the lack of activated STAT3 in DUSP22-rearranged ALCLs. DUSP22-rearranged ALCLs also overexpressed immunogenic cancer-testis antigen (CTA) genes and showed marked DNA hypomethylation by reduced representation bisulfate sequencing and DNA methylation arrays. Pharmacologic DNA demethylation in ALCL cells recapitulated the overexpression of CTAs and other DUSP22 signature genes. Additionally, DUSP22-rearranged ALCLs minimally expressed PD-L1 compared to other ALCLs, but showed high expression of the costimulatory gene CD58 and HLA class II. Taken together, these findings indicate that DUSP22 rearrangements define a molecularly distinct subgroup of ALCLs and that immunogenic cues related to antigenicity, costimulatory molecule expression, and inactivity of the PD-1/PD-L1 immune checkpoint likely contribute to their favorable prognosis. More aggressive ALCLs might be pharmacologically reprogrammed to a DUSP22-like, immunogenic molecular signature through the use of demethylating agents and/or immune checkpoint inhibitors.

Publication Title

Molecular profiling reveals immunogenic cues in anaplastic large cell lymphomas with <i>DUSP22</i> rearrangements.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP056636
Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type, 4L;C* and Isofagamine treated 4L;C* region specifics mouse brain Transcriptomes (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived brain transcriptome profiling (RNA-seq) in neuropathic region specific Gaucher mouse brain compared with WT and Isofagamine treated mice of the same age and background and secondly to identify the DEmiRNA associated with the DEmRNA before and after treatment This will give us some insights to see if miRNA is also involved in the the regulation of the expression of the genes involved in the disease process before and after treatment. Methods: 42-45 days old 4L;C*, wild-type (WT) and Isofagamine treated 4L;C* mouse brain were generated by deep sequencing, in triplicate, using IlluminaHiseq. The sequence reads that passed quality filters were analyzed at the gene level with two methods: Burrows–Wheeler Aligner (BWA) followed and TopHat followed by DESeq. qRT–PCR validation was performed using TaqMan and SYBR Green assays Overall design: Regional brain mRNA profiles of ~42 -days old wild type (WT) and 4L;C* an d Isofagamine treated mice were generated by deep sequencing, in triplicate, using IlluminaHi Seq.

Publication Title

Signatures of post-zygotic structural genetic aberrations in the cells of histologically normal breast tissue that can predispose to sporadic breast cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE46884
Gene Expression Signature of Human Polynucleotide Phosphorylase (hPNPaseold-35) in Melanoma
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Human Polynucleotide Phosphorylase (hPNPaseold-35) is an evolutionarily conserved 35 exoribonuclease implicated in the regulation of numerous physiological processes like maintenance of mitochondrial homeostasis, mtRNA import and aging-associated inflammation.

Publication Title

Identification of genes potentially regulated by human polynucleotide phosphorylase (hPNPase old-35) using melanoma as a model.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP096948
UBR7 is a novel E3 ubiquitin ligase for H2BK120 and acts as a tumor-suppressor in breast cancer [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Plant Homeo Domain (PHD) is a versatile chromatin reader/effector module which recognizes methylated, acetylated or unmodified histone substrates and regulates cellular gene expression programs. Although PHD domains shows selective epigenetic recognition of methylated, acetylated and unmodified histone substrates, there has been no previous report on its catalytic function regulating malignant transformation of cells. Here we report that PHD finger of UBR7 (Ubiquitin Protein Ligase E3 Component N-Recognin 7 (Putative)), in isolation or in context of full length protein, harbors E3 ubiquitin ligase activity towards monoubiquitination of histone H2B at lysine 120 . Knockdown of UBR7 in MCF10a and breast cancer cells decreased H2BK120ub both at the global levels and on specific genes. Conversely, overexpression of wild type, but not catalytic mutant, rescued H2BK120ub levels. Low UBR7 expression was associated with basal-like and triple negative breast cancers as well as showed poor expression in metastatic tumors. Consistently, UBR7 loss resulted in invasion properties, induced epithelial-to-mesenchymal transition and promoted metastasis. Conversely, ectopic expression of UBR7 reduced cell growth, invasion and tumor growth in mouse fat pad. Mechanistically, UBR7 reduced H2BK120ub gene body of cell-adhesion related genes as well as gene expression including on CDH4 gene. Importantly, rebuilding CDH4 levels rescued invasion phenotypes seen in UBR7-low cells. Collectively, our results establish that UBR7 PHD has novel H2B ubiquitin ligase activity and it suppresses tumor growth in basal-like breast cancers. Overall design: Triplicate total RNA profiles in Wild Type and UBR7-shRNA MCF10A Cell Line

Publication Title

Atypical plant homeodomain of UBR7 functions as an H2BK120Ub ligase and breast tumor suppressor.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP076036
Next Generation Sequencing Facilitates Quantitative Analysis of human patient derived primary Glioblastoma (GBM) cancer cell Transcriptomes
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare GBM transcriptome profiling (RNA-seq) after shRNA based knockdown of PRKAB1 and to compare gene expression by optimal high-throughput data analysis Overall design: Methods: Total RNA profiles of two GBM cells (scramble and PRKAB1 sh RNA treated) were generated by deep sequencing, in triplicate, using Illumina Hiseq 2000. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using SYBR Green assays

Publication Title

AMP kinase promotes glioblastoma bioenergetics and tumour growth.

Sample Metadata Fields

Specimen part, Race, Subject

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accession-icon GSE65221
Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans
  • organism-icon Homo sapiens
  • sample-icon 136 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Background: African Americans (AA) have more pronounced insulin resistance and higher insulin secretion than European Americans (Caucasians or CA) when matched for age, gender, and body mass index (BMI). We hypothesize that physiological differences (including insulin sensitivity [SI]) between CAs and AAs can be explained by co-regulated gene networks in tissues involved in glucose homeostasis. Methods: We performed integrative gene network analyses of transcriptomic data in subcutaneous adipose tissue of 99 CA and 37 AA subjects metabolically characterized as non-diabetic, with a range of SI and BMI values. Results: Transcripts negatively correlated with SI in only the CA or AA subjects were enriched for inflammatory response genes and integrin-signaling genes, respectively. A sub-network (module) with TYROBP as a hub enriched for genes involved in inflammatory response (corrected p= 1.7E-26) was negatively correlated with SI (r= -0.426, p= 4.95E-04) in CA subjects. SI was positively correlated with transcript modules enriched for mitochondrial metabolism in both groups. Several SI-associated co-expressed modules were enriched for genes differentially expressed between groups. Two modules involved in immune response to viral infections and function of adherens junction, are significantly correlated with SI only in CAs. Five modules involved in drug/intracellular transport and oxidoreductase activity, among other activities, are correlated with SI only in AAs. Furthermore, we identified driver genes of these race-specific SI-associated modules. Conclusions: SI-associated transcriptional networks that were deranged predominantly in one ethnic group may explain the distinctive physiological features of glucose homeostasis among AA subjects.

Publication Title

Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans.

Sample Metadata Fields

Sex, Specimen part, Race

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accession-icon GSE40677
Gene expression analysis in mice with heart muscle-specific repression of CELF activity (MHC-CELFdelta)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Members of the CUG-BP, Elav-like family (CELF) regulate alternative splicing in the heart. In MHC-CELFdelta transgenic mice, CELF splicing activity is inhibited postnatally in heart muscle via expression of a nuclear dominant negative CELF protein under an a-myosin heavy chain promoter. MHC-CELFdelta mice develop dilated cardiomyopathy characterized by alternative splicing defects, enlarged hearts, and severe contractile dysfunction. In this study, gene expression profiles in the hearts of wild type, high- and low-expressing lines of MHC-CELFdelta mice were compared using microarrays. Gene ontology and pathway analyses identified contraction and calcium signaling as the most affected processes. Network analysis revealed that the serum response factor (SRF) network is highly affected. Downstream targets of SRF were up-regulated in MHC-CELFdelta mice compared to the wild type, suggesting an increase in SRF activity. Although SRF levels remained unchanged, known inhibitors of SRF activity were down-regulated. These results suggest a role for CELF-mediated alternative splicing in the regulation of contractile gene expression, achieved in part through modulating the activity of SRF, a key cardiac transcription factor.

Publication Title

Gene expression analyses implicate an alternative splicing program in regulating contractile gene expression and serum response factor activity in mice.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE29401
Gene profile of Myeloid derived Suppressive Cells from the Bone Marrow of Lysosomal Acid Lipase Knock-out Mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Expression profile of MDSC isolated from Bone marrow of lysosomal acid Lipase mice compared to the WT counterpart

Publication Title

Gene profile of myeloid-derived suppressive cells from the bone marrow of lysosomal acid lipase knock-out mice.

Sample Metadata Fields

Age, Specimen part

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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